Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions

Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions

A critical question relevant to the increasing importance of crowd-sourced-based finance is how to optimize collective information processing and decision-making. Here, we investigate an often under-studied aspect of the performance of online traders: beyond focusing on just accuracy, what gives ris...

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Bibliographic Details
Main Authors: Dhaval Adjodah, Yan Leng, Shi Kai Chong, P. M. Krafft, Esteban Moro, Alex Pentland
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
crowd-sourcing
wisdom of the crowd
social learning
Bayesian models
risk
Online Access:https://www.mdpi.com/1099-4300/23/7/801

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